👤 Meet Xudoyorov Sarvarbek

👋 Hello everyone! I'm Xudoyorov Sarvarbek, and I am delighted to welcome you to our robotics community. With extensive experience in robotics engineering, I have passionately devoted my career to uncovering the intricacies of robotics design and development, and to sharing this knowledge with others.

🔙 My Background:
After earning my degree in Web Programming and Python, I've delved into multiple projects that blend cutting-edge technology with practical applications. In programming, I'm driven by a passion for innovation and a commitment to enhancing education and empowerment.

👨‍💻 Professional Experience:
Throughout my career, I've had the privilege of contributing to several impactful projects and competing in prestigious national and international programming events. Here are some key highlights from my career journey:

🏆Competitive Achievements:
I've achieved success in multiple high-profile competitions, such as TEKNOFEST and robocontest.uz, which underscores my skill in creating and developing sophisticated programs.

Project management:
I have extensive experience in programming development and managing mid-complex projects. I focus on delivering projects on time while maintaining high standards

👨‍🏫Teaching and Guidance:
In my capacity as an educator, the understanding of programming for students.

👨‍💻 Mono Centre:
Nowadays, I serve as a support teacher of Python development at Mono Centre in Jizzakh. In this role, I collaborate with lead teacher Begzod Omonov to grade assignments and prepare for class sessions. Additionally, I support students' academic progress by providing personalized attention and guiding their learning and understanding. Working at Mono Centre has broadened my understanding of how technology is integrated across different industries and highlighted the importance of cultivating a tech-savvy community.

⬆️ My Vision
I co-founded this platform with Javokhir Tuychiyev on May 5, 2024, driven by a shared vision to make high-quality robotics education accessible to everyone. Our mission is to create a learning environment where students can acquire both theoretical knowledge and practical skills, equipping them for the future of technology.

Join Me on This Journey 🚀
On this channel, you'll find a plethora of resources to help you delve into the world of robotics with Arduino and other technologies. Whether you're a beginner or looking to enhance your skills, our tutorials, projects, and community support are here to assist you.

🙏 Thank you for joining us. Let's build something extraordinary together!

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📱 @user_sarvar 📱@user_sarvar

...So satisfying 🫠 Isn't it??

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...DIY Radar With Ultrasonic Sensor And Chat-GPT Generated Arduino Code | Coders Cafe

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...You gotta teach them this way… 💀

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...Self balancing Lelo triangle⌛

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...Led Chaser Circuit Using Arduino Uno💡

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...Open lock with a RFID Reader using Arduino 🔒

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Three main evolutionary stages of a breadboard 😅

#news #innovation #electric_cars

📣 Robotic startups Kinetic will repair electric cars 🚗

California-based Kinetic Automation has developed an innovative solution for diagnosing and re-diagnosis of systems in modern vehicles. Start hopes to reduce labor and repair costs for electric vehicles using robots and machine learning technologies.

A team of 40 people developed a system that uses computer vision and machine learning software to solve rapid diagnostic problems with digital devices.

Traditional garages solve physical problems, but the complex digital aspects of cars require a special approach. Kinetic helps auto repair shops and dealerships avoid these digital challenges with its robotic systems.

How it works: The customer's vehicle drives into the Kinetic service center, where it is scanned using machine vision sensors mounted on a robotic arm. Kinetic software then determines which systems need programming or calibration and makes the necessary corrections.

Kinetic has already opened its first four service centers in Las Vegas and Orange, San Bernardino and Riverside counties in the state.

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#news #innovation #smart_robots

📣Robot sorter with human touch: a new level of waste recycling♻️🔋

A new robotic system that imitates the human sense of touch has achieved an accuracy of 98.85% in recognizing household waste. These robots are already working in 40 of the 600 recycling centers in the United States, sorting waste twice as quickly and accurately as humans.

A research team from Tsinghua University in Beijing created a multilayer sensor that is sensitive to materials and temperature changes and combined it with a cascade classification algorithm. This allows the robot to effectively distinguish objects from simple (empty boxes) to complex (orange peels, scraps of fabric).

The robotic arm recognizes and sorts various types of waste: cardboard boxes, scraps, plastic bags, bottles, sponges, napkins and expired medications. Garbage is separated into containers for recycling, food waste, hazardous waste and other household waste.

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